Directions
Study of algorithms and AI.
Integration of computing and physical processes in manufacturing and logistics.
Researching and applying mathematical techniques to optimise and learn from data.
The National Laboratories coordinated by HUN-REN SZTAKI aim to strengthen domestic R&D and boost the competitiveness of the economy with innovative, world-class solutions.
The goal of this Platform is to support Internet-based economy and innovation by stepping into a new era of technology. Read more
Scientific cloud services for research projects. Read more
Scientific Data Repository for the Hungarian Research Community. Read more
In: International Workshop on Depth Image Analysis.
In: 21st International Conference on Pattern Recognition.
In: Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition.
In: Lecture Notes in Computer Science, 2011-12-13 - 2011-12-15, Pisa, Olaszország.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 34 (1)., pp. 33-50. ISSN 0162-8828
In: 21st International Conference on Pattern Recognition (ICPR 2012), 2012-11-11 - 2012-11-15, Tsukuba, Japán.
In: VISAPP 2012, 2012-02-24 - 2012-02-26, Roma, Olaszország.
In: 19th IEEE International Conference on Image Processing (ICIP 2012), 2012-09-30 - 2012-10-03, Orlando, Amerikai Egyesült Államok.
ACTA POLYTECHNICA HUNGARICA, 9 (1)., pp. 67-83. ISSN 1785-8860